Day | Section | Topic |
---|---|---|
Mon, Jan 13 | Expressions and equations | |
Wed, Jan 15 | 1.1 | Functions & graphs |
Fri, Jan 17 | 1.2 | Combining functions |
Today we introduced the course syllabus. Then we looked at how to solve the following equations algebraically.
After we solved these equations, we also talked about the geometric interpretation of the solutions as places on a graph where a function has a certain y-value.
Graph the line and check where it crosses the line .
Graph the function .
To make it easier to graph functions, it helps to know some basic graphs. Here are six you should memorize.
We used these examples to help graph the following in class:
After those graphs, we talked about function notation. Both and to mean the same thing. But the notation emphasizes that is a function of the variable. Be careful not to confuse function notation with multiplication . Even though the notation looks the same, they are not the same!
We did these examples.
If and , find and .
Find .
The quantity of gasoline sold by a gas station is a function of the price that the owner sets. Here is a graph of the function .
The function can be used to approximate . Calculate and .
We started talking about different ways you can combine functions. We did the following exercises.
(Exercise 1.2# 29) The function gives the number of items that will be demanded when the price is . The production cost, is the cost of producing items. To determine the cost of production when the price is $6, you would do which of the following?
Continuing the previous problem, profit is revenue minus cost, and revenue is price times quantity sold. Using the functions and , write down formulas for revenue and for profit.
After we talked about function composition, we switched to a quick review of linear functions. You need to know these formulas for linear functions:
You also need to understand slope very well:
Day | Section | Topic |
---|---|---|
Mon, Jan 20 | MLK day - no class | |
Wed, Jan 22 | 1.3 | Linear functions |
Fri, Jan 24 | 1.3 | Slope |
Today we talked about linear equation word problems.
Someone is hiking up a mountain. They start at an elevation of 1200 meters and climb at a constant rate. After 4 hours, they are at an elevation of 1700 meters. Find a formula for their elevation as a function of the time in hours since they started hiking. (video)
Find a formula to convert Celsius to Fahrenheit.
Find a formula to convert Fahrenheit to Celsius.
Find the slope and intercept of the equation . (video)
Joe imports coffee. He can import arabica beans for $6 per pound and he can import robusta beans for $5 per pound. Suppose he spends $1500 to import pounds of arabica beans and pounds of robusta beans.
Leo has 4 more keys than Haley on his keychain. Together they have 18 keys total. How many keys does Haley have? (video)
Solve the system of equations
Day | Section | Topic |
---|---|---|
Mon, Jan 27 | 1.3 | Systems of linear equations |
Wed, Jan 29 | 1.4 | Exponents |
Fri, Jan 31 | 1.4 | Exponents - con’d |
Today we started talking about exponent rules. There are a bunch of rules, but they all boil down to three simple ideas:
Powers represent repeated multiplication: .
Negative powers represent reciprocals: .
Radicals (square roots, cube roots, etc.) are fractional powers .
Simplify . (video)
Simplify . (video)
Simplify . (video)
Simplify .
Simplify . What do you think the most common mistake is here?
Simplify .
Simplify . (video)
Today we looked at using the exponent rules to help solve equations.
This last problem opens a can of worms, since it turns into a 2nd degree polynomial. A polynomial is any sum of terms that combine a whole number power of multiplied by a number called a coefficient.
Solving equations involving polynomials requires a non-intuitive technique:
The solutions are the roots, i.e., the places where each factor is zero.
Here is another polynomial equation:
Here’s an example we didn’t get to last time.
After some algebra, this turns into the equation . We can factor that by dividing out the common factor of . There is a second more complex kind of factoring that involves un-FOIL-ing a polynomial. Recall that FOIL stands for First-Outside-Inside-Last, which is a mnemonic to remember how to multiply out expressions like: When you factor a polynomial with leading term , you need to find factors of the constant term that add up to the middle coefficient. Here are some examples we did in class.
We didn’t get to these last two examples in class, but they are good extra practice:
Where does the line intersect the parabola ? (video)
Solve
Day | Section | Topic |
---|---|---|
Mon, Feb 3 | 1.5 | Quadratics |
Wed, Feb 5 | 1.6 | Polynomial & rational functions |
Fri, Feb 7 | 1.7 | Exponential functions |
We did this in-class workshop:
We looked at some more examples of factoring to solve polynomial equations.
. (This was from the workshop last time.)
. (video)
A rational function is a function that can be expressed using polynomials and reciprocals of polynomials. You can use the same techniques we’ve already used to solve equations involving rational expressions.
After that, we talked about how to solve inequalities. We started with simple examples like:
Then we moved on to harder examples.
Strategy for Solving Inequalities.
Find crossings and discontinuities. Solve for equality to find the crossing points, and also mark the bad points where the functions have vertical asymptotes.
Check subintervals. The x-values above divide the number line into subintervals. For each subinterval, test a point to see if the original inequality is true. It helps to either have a factored expression to compare with zero or a graph to check.
Today we talked about exponential growth. We started with exponential
functions.
where
is the initial value and
is a constant called the base. The most common bases
are base-10, base-2, and the natural exponential base which is
which is also known as Euler’s number.
Exponential growth/decay is what you get when you multiply by the same growth factor every step. This is different than linear growth where you add the same constant rate of change every step.
For each sequence below, determine if it a linear or exponential pattern. If it is linear, what is the rate of change? If it is exponential, what is the growth factor?
According to Newton’s law of cooling, the temperature difference between a small object and its surroundings changes exponentially. Suppose a cup of coffee is initially C above room temperature. If its temperature has decreased to only C above room temperature ten minutes later, then what will the temperature be after 20 minutes? What about after 30 minutes? What is the growth factor?
Suppose that the median house price in a city has been growing exponentially for some time. If the median price was in the year 2000 and in 2010, then what were prices in 2020? What are prices now? Find an equation for the price as a function of time.
Day | Section | Topic |
---|---|---|
Mon, Feb 10 | 1.7 | Exponential functions - con’d |
Wed, Feb 12 | Review | |
Fri, Feb 14 | Midterm 1 |
One of the most common ways to talk about growth is with percentages. This type of growth is called relative growth because it is stated relative to the size of the population that is growing with a percentage. For example, 5% growth of the United States population would be a lot, because the US population is large. The best way to understand relative growth is to convert percentage increases and decreases into growth factors.
A growth factor is also the ratio of the new amount divided by the old amount.
The US population was 310 million in 2010. It was 330 million in 2020. What is the growth factor and the percent change in the US population from 2010 to 2020?
What would the growth factor and percent change be if the population were to decline from 330 million in 2020 to 320 million in 2030?
The tricky thing about percent growth is that it is not additive. If something grows by 30% for two years in a row, that is not 60% total growth. You have to multiply the growth factors.
If something grows by 30% one year and then 30% again the next year, how much did it grow total as a percentage?
If I have $100 invested and its value grows by 25% in the first year and shrinks 25% in the second year, then how much money is left after two years? (video)
Since you multiply growth factors instead of adding percent changes, you also have to take roots to break growth factors into equal amounts.
What was the (average) annual percent population change in the United States between 2010 and 2020?
If that rate of population growth continues, what is the equation for the population of the United States as a function of time?
If a savings account earns 2% interest every year, and you put $100 in the bank and leave it there for 10 years, how much money will you have? What about after years?
Which is better, to invest in a mutual fund that grows by 10% every year, or a fund that grows by 0.8% every month?
Here is one more example that we didn’t have time for in class:
Today we went over the midterm 1 review problems and a few problems from homework 5.
Day | Section | Topic |
---|---|---|
Mon, Feb 17 | 1.8 | Logarithmic functions |
Wed, Feb 19 | 1.8 | Logarithmic functions - con’d |
Fri, Feb 21 | 2.2 | The derivative |
Today we introduced logarithms. We started by talking about logarithmic scales, which are number lines where the numbers are spaced by multiplication instead of addition.
Logarithmic scales help understand the logarithm function.
What are Logarithms?
The logarithm function can be understood two ways:
equals the number of steps is away from 1 on a (base-b) log-scale.
equals the power of b needed to get .
Logarithms are useful because they convert difficult multiplication/division problems into easier addition/subtraction problems. They also convert exponential patterns into linear patterns.
Properties of Logarithms
The most important base for exponential and logarithmic functions in calculus is the number . This is the natural base for the logarithm and exponential function for reasons that we’ll see later when we talk about derivatives. We write to denote the base-e logarithm.
One of the most important applications of logarithms is that they let you solve equations with variables in the exponent.
Solve .
Solve (video)
Here is one more good exercise using logarithms that we didn’t have time for:
Class is canceled today because of the snow, but I recommend starting homework 6 if you haven’t already. Here are some video links for problems similar to the ones on the homework.
Which of the following equations would you need a logarithm to solve? (<https://www.youtube.com/shorts/2MT89tcjnQo))
Solve . (video)
Solve . (video)
How long would it take an investment of $4,000 to grow to $20,000 if it grows by 7% each year? (video)
A lumber company has 1,200,000 trees. They plan to harvest 7% of the remaining trees each year. How long until they have harvested half of the trees? (video)
We started by going over problems #5 and #7 from Homework 6. We also talked about the shape of the graph of a logarithm function. You should memorize the graph of the natural exponential and logarithm functions.
After that quick review, we introduced derivatives.
Derivatives
A function is differentiable at a point if the graph looks more and more like a straight line as you zoom in. That straight line is called the tangent line and its slope is called the derivative.
If , then all three of the following notations are used for the derivative:
Calculus was discovered independently by both Newton and Leibniz, and they invented different notations for the derivative. Newton used a mark like or to represent the derivative. Leibniz used the fraction . Newton’s notation emphasizes that the derivative is a function that depends on which we input. Leibniz’s notation emphasizes that the derivative is the slope of a tangent line, so it is equal to a rise over a run. The symbols and are called differentials, and can represent any rise and run of a tangent line, the same way that and represent rise and run for other lines. (video)
Average versus Instantaneous Rate of Change
The average rate of change of a function on an interval is This is the slope of a secant line that passes through two points on the graph of .
The instantaneous rate of change of at a point is the derivative This is the slope of a tangent line at one point on the graph of .
What is the average velocity of the rock as it falls?
Zoom in on the graph at seconds. Use the graph to estimate the instantenous velocity when the rock hits the ground.
Guess which point on the graph has a tangent line with slope equal to the average velocity over the interval .
Day | Section | Topic |
---|---|---|
Mon, Feb 24 | 2.2 | The derivative as a function |
Wed, Feb 26 | 2.3 | The power & sum rule for derivatives |
Fri, Feb 28 | 2.3 | Derivatives of logarithms and exponentials |
Today we introduced some rules for calculating the derivative. For any function , the notation means “take the derivative of the function”. We write either , , , or sometimes to represent the result.
Basic Differentiation Rules
Power Rule. .
Constant Multiple Rule. .
Addition Rule. .
Use the power rule to find each of the following derivatives.
What is the slope of the tangent line to at the point ?
Find the derivative of .
Find the derivative of .
In exercise 4 from the Parabolas workshop, we looked at an example where a gas station’s revenue is a function of the price they charge per gallon. The formula for the revenue was
Class was canceled today.
We applied the rules from last time to find the derivatives of the following examples.
Let . Find the slope of the tangent line when . (video)
Differentiate . (video)
Find . (video)
Find . (video)
Find the derivative of .
In addition to these exercises, we also talked about derivative notation.
Derivative Notation
Don’t confuse and .
is a command that means “find the derivative” of what comes next.
is the derivative value or function. It means the same thing as or .
The derivative can be a formula or a number. So it might make sense to say that , but it would never make sense to say that .
Day | Section | Topic |
---|---|---|
Mon, Mar 3 | 2.3 | Applications of derivatives |
Wed, Mar 5 | 2.4 | Product rule |
Fri, Mar 7 | 2.4 | Product rule - con’d |
Today we talked about applications of derivatives. One application is to find the points on a graph where the slope is zero:
Let . Find and find the points where .
Let . Find and the point where .
Another important application in economics is the notion of marginal functions including marginal cost and marginal revenue. If a company produces goods and the cost to produce those goods is a function , then the marginal cost to produce the next one item after already producing is called the marginal cost. Technically it is equal to , but it is often easier to just use the derivative to estimate the marginal cost instead. Likewise, the marginal revenue is the extra bit of revenue that comes from selling the next one item after selling the first , and it can be approximated by the derivative of the revenue function.
We started with some more marginal analysis examples.
Suppose a company has total revenue and cost . Find the marginal revenue, marginal cost, and marginal profit. (video)
Suppose that . Find the marginal cost. When is the marginal cost zero?
Although derivatives work term-by-term, they don’t play nice with factors. For example, you can’t just take the derivatives the two factors in the expression . To work with factors, you need to use the product rules.
More Derivative Rules
Exponential Rule. .
Logarithm Rule. .
We did the following examples:
In many cases, we can also use the rules for exponents and logarithms to simplify functions before we calculate the derivative.
.
(video)
We started with an abstract product rule example.
5 |
Then we introduced the quotient rule.
Quotient Rule
Find the derivative of . (video)
Find .
Use the quotient rule to find . (video)
Suppose that where the values of and at are given by the table below. Find the value of .
5 |
Day | Section | Topic |
---|---|---|
Mon, Mar 17 | 2.4 | Quotient rule |
Wed, Mar 19 | 2.5 | Chain rule |
Fri, Mar 21 | 2.5 | Chain rule - con’d |
We started with some practice examples to review the product and quotient rules.
After those examples, we introduced the chain rule, which is the last and also one of the most important rules for finding the derivative.
Chain Rule
To find the derivative of a composition of two functions (one function inside another):
Think of this as a two step process:
The chain rule takes practice to get used to, but here is an intuitive example to start to get the hang of it.
In this example, is miles driven, is elevation, and is time. If you are driving 60 miles per hour, then . And the elevation is . To find , you need to multiply .
Today we did more examples of the chain rule.
If , find . (video)
.
You can also use the chain rule to avoid using the quotient rule. Here is an example we did last time, re-written as a product rule:
Find the derivative of
A rock is thrown into the center of a still pond, causing ripples to spread out in a circle. The ripples move outwards at 4 feet per second.
Chain Rule (Leibniz Notation)
If and , then this is another way to write the chain rule:
Here are some examples that combine the chain rule with other rules:
Why is the chain rule called the chain rule? It’s because you can apply the chain rule to a sequence of nested functions, no matter how long the chain of functions is. For example: if , , and , then this chain of functions has derivative:
Here is an example of a problem where you need to use the chain rule twice:
After that, we talked about higher derivatives. The second derivative of a function is
The first derivative is the slope of the tangent line.
Meaning of the Second Derivative
The second derivative measures the concavity of a graph, which is how fast the graph is bending upwards.
A point where the concavity changes is called an inflection point.
Find the second derivatives of and . Does the value of the second derivative match the concavity of the graphs for these functions?
Find the second derivative when . (video)
Day | Section | Topic |
---|---|---|
Mon, Mar 24 | 2.6 | Second derivative & concavity |
Wed, Mar 26 | Review | |
Fri, Mar 28 | Midterm 2 |
In physics, if is the position of an object as a function of time, then the first derivative is velocity and the second derivative is acceleration.
A rock thrown straight up has height in feet after seconds. Find and (that is, find the velocity and acceleration).
The normal distribution (bell curve) in statistics has equation . Find the first and second derivatives, and use the second derivative to determine when the graph is concave up and concave down.
Find the intervals where the function is concave up. (similar example)
Find the inflection points of . (video)
Here are some additional problems that we didn’t have time for in class.
Find the intervals where the function is concave up.
Find the inflection points of . (video)
Today we went over the midterm 2 review problems in class.
Day | Section | Topic |
---|---|---|
Mon, Mar 31 | 2.7 | Optimization |
Wed, Apr 2 | 2.7 | Optimization - con’d |
Fri, Apr 4 | 2.9 | Applied optimization |
We started by reviewing the problem on the midterm exam where the temperature of a can of soda in Celsius after hours in a refrigerator is We talked about how to find the derivative and about what the derivative means. In particular we talked about units and how to find the units of derivatives.
After that, we talked about finding the intervals where a function is increasing and where it is decreasing. This works exactly like finding the intervals of concavity, except you use the first derivative, not the second. We also talked about local maximums and local minimums. A local max occurs when a continuous function is increasing before and decreasing after a point. A local minimum occurs when the function is decreasing before and increasing after a point.
Find the intervals of increase and decrease for . (video)
Find the intervals of increase and decrease for . (video)
Find the intervals of increase and decrease for .
We continued doing optimization problems today. We did these examples.
Find the local max and mins for .
Find the intervals of increase and decrease for . (video)
We also talked about finding the absolute maximum and minimum y-values on an interval. The key idea is that you need to check the y-values at both the critical points inside the interval and also the endpoints of the interval. We did these two examples:
Find the absolute max and min of on .
Find the absolute max and min of on . (video with similar example)
Day | Section | Topic |
---|---|---|
Mon, Apr 7 | 2.10 | Other applications |
Wed, Apr 9 | 4.1 | Functions of two variables |
Fri, Apr 11 | 4.2 | Partial derivatives |
Day | Section | Topic |
---|---|---|
Mon, Apr 14 | 4.2 | Partial derivatives - con’d |
Wed, Apr 16 | Review | |
Fri, Apr 18 | Midterm 3 |
Day | Section | Topic |
---|---|---|
Mon, Apr 21 | 4.3 | Multivariable optimization |
Wed, Apr 23 | 4.3 | Multivariable optimization - con’d |
Fri, Apr 25 | Constrained optimization | |
Mon, Apr 28 | Constrained optimization - con’d |